lexruntimeservice

package module
v1.1.1 Latest Latest
Warning

This package is not in the latest version of its module.

 Go to latest Published: Feb 10, 2021 License: Apache-2.0 Imports: 27 Imported by: 18

Documentation

Overview

Package lexruntimeservice provides the API client, operations, and parameter types for Amazon Lex Runtime Service.

Amazon Lex provides both build and runtime endpoints. Each endpoint provides a set of operations (API). Your conversational bot uses the runtime API to understand user utterances (user input text or voice). For example, suppose a user says "I want pizza", your bot sends this input to Amazon Lex using the runtime API. Amazon Lex recognizes that the user request is for the OrderPizza intent (one of the intents defined in the bot). Then Amazon Lex engages in user conversation on behalf of the bot to elicit required information (slot values, such as pizza size and crust type), and then performs fulfillment activity (that you configured when you created the bot). You use the build-time API to create and manage your Amazon Lex bot. For a list of build-time operations, see the build-time API, .

Index

Constants

View Source 
const ServiceAPIVersion = "2016-11-28"
View Source 
const ServiceID = "Lex Runtime Service"

Variables

This section is empty.

Functions

func NewDefaultEndpointResolver 

func NewDefaultEndpointResolver() *internalendpoints.Resolver

NewDefaultEndpointResolver constructs a new service endpoint resolver

func WithAPIOptions added in v1.0.0 

func WithAPIOptions(optFns ...func(*middleware.Stack) error) func(*Options)

WithAPIOptions returns a functional option for setting the Client's APIOptions option.

func WithEndpointResolver 

func WithEndpointResolver(v EndpointResolver) func(*Options)

WithEndpointResolver returns a functional option for setting the Client's EndpointResolver option.

Types

type Client 

type Client struct {
	// contains filtered or unexported fields
}

Client provides the API client to make operations call for Amazon Lex Runtime Service.

func New 

func New(options Options, optFns ...func(*Options)) *Client

New returns an initialized Client based on the functional options. Provide additional functional options to further configure the behavior of the client, such as changing the client's endpoint or adding custom middleware behavior.

func NewFromConfig 

func NewFromConfig(cfg aws.Config, optFns ...func(*Options)) *Client

NewFromConfig returns a new client from the provided config.

func (*Client) DeleteSession 

func (c *Client) DeleteSession(ctx context.Context, params *DeleteSessionInput, optFns ...func(*Options)) (*DeleteSessionOutput, error)

Removes session information for a specified bot, alias, and user ID.

func (*Client) GetSession 

func (c *Client) GetSession(ctx context.Context, params *GetSessionInput, optFns ...func(*Options)) (*GetSessionOutput, error)

Returns session information for a specified bot, alias, and user ID.

func (*Client) PostContent 

func (c *Client) PostContent(ctx context.Context, params *PostContentInput, optFns ...func(*Options)) (*PostContentOutput, error)

Sends user input (text or speech) to Amazon Lex. Clients use this API to send text and audio requests to Amazon Lex at runtime. Amazon Lex interprets the user input using the machine learning model that it built for the bot. The PostContent operation supports audio input at 8kHz and 16kHz. You can use 8kHz audio to achieve higher speech recognition accuracy in telephone audio applications. In response, Amazon Lex returns the next message to convey to the user. Consider the following example messages:

* For a user input "I would like a pizza," Amazon Lex might return a response with a message eliciting slot data (for example, PizzaSize): "What size pizza would you like?".

* After the user provides all of the pizza order information, Amazon Lex might return a response with a message to get user confirmation: "Order the pizza?".

* After the user replies "Yes" to the confirmation prompt, Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.".

Not all Amazon Lex messages require a response from the user. For example, conclusion statements do not require a response. Some messages require only a yes or no response. In addition to the message, Amazon Lex provides additional context about the message in the response that you can use to enhance client behavior, such as displaying the appropriate client user interface. Consider the following examples:

* If the message is to elicit slot data, Amazon Lex returns the following context information:

* x-amz-lex-dialog-state header set to ElicitSlot

* x-amz-lex-intent-name header set to the intent name in the current context

* x-amz-lex-slot-to-elicit header set to the slot name for which the message is eliciting information

* x-amz-lex-slots header set to a map of slots configured for the intent with their current values

* If the message is a confirmation prompt, the x-amz-lex-dialog-state header is set to Confirmation and the x-amz-lex-slot-to-elicit header is omitted.

* If the message is a clarification prompt configured for the intent, indicating that the user intent is not understood, the x-amz-dialog-state header is set to ElicitIntent and the x-amz-slot-to-elicit header is omitted.

In addition, Amazon Lex also returns your application-specific sessionAttributes. For more information, see Managing Conversation Context (https://docs.aws.amazon.com/lex/latest/dg/context-mgmt.html).

func (*Client) PostText 

func (c *Client) PostText(ctx context.Context, params *PostTextInput, optFns ...func(*Options)) (*PostTextOutput, error)

Sends user input to Amazon Lex. Client applications can use this API to send requests to Amazon Lex at runtime. Amazon Lex then interprets the user input using the machine learning model it built for the bot. In response, Amazon Lex returns the next message to convey to the user an optional responseCard to display. Consider the following example messages:

* For a user input "I would like a pizza", Amazon Lex might return a response with a message eliciting slot data (for example, PizzaSize): "What size pizza would you like?"

* After the user provides all of the pizza order information, Amazon Lex might return a response with a message to obtain user confirmation "Proceed with the pizza order?".

* After the user replies to a confirmation prompt with a "yes", Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.".

Not all Amazon Lex messages require a user response. For example, a conclusion statement does not require a response. Some messages require only a "yes" or "no" user response. In addition to the message, Amazon Lex provides additional context about the message in the response that you might use to enhance client behavior, for example, to display the appropriate client user interface. These are the slotToElicit, dialogState, intentName, and slots fields in the response. Consider the following examples:

* If the message is to elicit slot data, Amazon Lex returns the following context information:

* dialogState set to ElicitSlot

* intentName set to the intent name in the current context

* slotToElicit set to the slot name for which the message is eliciting information

* slots set to a map of slots, configured for the intent, with currently known values

* If the message is a confirmation prompt, the dialogState is set to ConfirmIntent and SlotToElicit is set to null.

* If the message is a clarification prompt (configured for the intent) that indicates that user intent is not understood, the dialogState is set to ElicitIntent and slotToElicit is set to null.

In addition, Amazon Lex also returns your application-specific sessionAttributes. For more information, see Managing Conversation Context (https://docs.aws.amazon.com/lex/latest/dg/context-mgmt.html).

func (*Client) PutSession 

func (c *Client) PutSession(ctx context.Context, params *PutSessionInput, optFns ...func(*Options)) (*PutSessionOutput, error)

Creates a new session or modifies an existing session with an Amazon Lex bot. Use this operation to enable your application to set the state of the bot. For more information, see Managing Sessions (https://docs.aws.amazon.com/lex/latest/dg/how-session-api.html).

type DeleteSessionInput 

type DeleteSessionInput struct {

	// The alias in use for the bot that contains the session data.
	//
	// This member is required.
	BotAlias *string

	// The name of the bot that contains the session data.
	//
	// This member is required.
	BotName *string

	// The identifier of the user associated with the session data.
	//
	// This member is required.
	UserId *string
}

type DeleteSessionOutput 

type DeleteSessionOutput struct {

	// The alias in use for the bot associated with the session data.
	BotAlias *string

	// The name of the bot associated with the session data.
	BotName *string

	// The unique identifier for the session.
	SessionId *string

	// The ID of the client application user.
	UserId *string

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
}

type EndpointResolver 

type EndpointResolver interface {
	ResolveEndpoint(region string, options EndpointResolverOptions) (aws.Endpoint, error)
}

EndpointResolver interface for resolving service endpoints.

func EndpointResolverFromURL added in v1.1.0 

func EndpointResolverFromURL(url string, optFns ...func(*aws.Endpoint)) EndpointResolver

EndpointResolverFromURL returns an EndpointResolver configured using the provided endpoint url. By default, the resolved endpoint resolver uses the client region as signing region, and the endpoint source is set to EndpointSourceCustom.You can provide functional options to configure endpoint values for the resolved endpoint.

type EndpointResolverFunc 

type EndpointResolverFunc func(region string, options EndpointResolverOptions) (aws.Endpoint, error)

EndpointResolverFunc is a helper utility that wraps a function so it satisfies the EndpointResolver interface. This is useful when you want to add additional endpoint resolving logic, or stub out specific endpoints with custom values.

func (EndpointResolverFunc) ResolveEndpoint 

func (fn EndpointResolverFunc) ResolveEndpoint(region string, options EndpointResolverOptions) (endpoint aws.Endpoint, err error)

type EndpointResolverOptions added in v0.29.0 

type EndpointResolverOptions = internalendpoints.Options

EndpointResolverOptions is the service endpoint resolver options

type GetSessionInput 

type GetSessionInput struct {

	// The alias in use for the bot that contains the session data.
	//
	// This member is required.
	BotAlias *string

	// The name of the bot that contains the session data.
	//
	// This member is required.
	BotName *string

	// The ID of the client application user. Amazon Lex uses this to identify a user's
	// conversation with your bot.
	//
	// This member is required.
	UserId *string

	// A string used to filter the intents returned in the recentIntentSummaryView
	// structure. When you specify a filter, only intents with their checkpointLabel
	// field set to that string are returned.
	CheckpointLabelFilter *string
}

type GetSessionOutput 

type GetSessionOutput struct {

	// A list of active contexts for the session. A context can be set when an intent
	// is fulfilled or by calling the PostContent, PostText, or PutSession operation.
	// You can use a context to control the intents that can follow up an intent, or to
	// modify the operation of your application.
	ActiveContexts []types.ActiveContext

	// Describes the current state of the bot.
	DialogAction *types.DialogAction

	// An array of information about the intents used in the session. The array can
	// contain a maximum of three summaries. If more than three intents are used in the
	// session, the recentIntentSummaryView operation contains information about the
	// last three intents used. If you set the checkpointLabelFilter parameter in the
	// request, the array contains only the intents with the specified label.
	RecentIntentSummaryView []types.IntentSummary

	// Map of key/value pairs representing the session-specific context information. It
	// contains application information passed between Amazon Lex and a client
	// application.
	SessionAttributes map[string]string

	// A unique identifier for the session.
	SessionId *string

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
}

type HTTPClient 

type HTTPClient interface {
	Do(*http.Request) (*http.Response, error)
}

type HTTPSignerV4 

type HTTPSignerV4 interface {
	SignHTTP(ctx context.Context, credentials aws.Credentials, r *http.Request, payloadHash string, service string, region string, signingTime time.Time, optFns ...func(*v4.SignerOptions)) error
}

type Options 

type Options struct {
	// Set of options to modify how an operation is invoked. These apply to all
	// operations invoked for this client. Use functional options on operation call to
	// modify this list for per operation behavior.
	APIOptions []func(*middleware.Stack) error

	// Configures the events that will be sent to the configured logger.
	ClientLogMode aws.ClientLogMode

	// The credentials object to use when signing requests.
	Credentials aws.CredentialsProvider

	// The endpoint options to be used when attempting to resolve an endpoint.
	EndpointOptions EndpointResolverOptions

	// The service endpoint resolver.
	EndpointResolver EndpointResolver

	// Signature Version 4 (SigV4) Signer
	HTTPSignerV4 HTTPSignerV4

	// The logger writer interface to write logging messages to.
	Logger logging.Logger

	// The region to send requests to. (Required)
	Region string

	// Retryer guides how HTTP requests should be retried in case of recoverable
	// failures. When nil the API client will use a default retryer.
	Retryer aws.Retryer

	// The HTTP client to invoke API calls with. Defaults to client's default HTTP
	// implementation if nil.
	HTTPClient HTTPClient
}

func (Options) Copy 

func (o Options) Copy() Options

Copy creates a clone where the APIOptions list is deep copied.

type PostContentInput 

type PostContentInput struct {

	// Alias of the Amazon Lex bot.
	//
	// This member is required.
	BotAlias *string

	// Name of the Amazon Lex bot.
	//
	// This member is required.
	BotName *string

	// You pass this value as the Content-Type HTTP header. Indicates the audio format
	// or text. The header value must start with one of the following prefixes:
	//
	// * PCM
	// format, audio data must be in little-endian byte order.
	//
	// * audio/l16;
	// rate=16000; channels=1
	//
	// * audio/x-l16; sample-rate=16000; channel-count=1
	//
	// *
	// audio/lpcm; sample-rate=8000; sample-size-bits=16; channel-count=1;
	// is-big-endian=false
	//
	// * Opus format
	//
	// * audio/x-cbr-opus-with-preamble;
	// preamble-size=0; bit-rate=256000; frame-size-milliseconds=4
	//
	// * Text format
	//
	// *
	// text/plain; charset=utf-8
	//
	// This member is required.
	ContentType *string

	// User input in PCM or Opus audio format or text format as described in the
	// Content-Type HTTP header. You can stream audio data to Amazon Lex or you can
	// create a local buffer that captures all of the audio data before sending. In
	// general, you get better performance if you stream audio data rather than
	// buffering the data locally.
	//
	// This member is required.
	InputStream io.Reader

	// The ID of the client application user. Amazon Lex uses this to identify a user's
	// conversation with your bot. At runtime, each request must contain the userID
	// field. To decide the user ID to use for your application, consider the following
	// factors.
	//
	// * The userID field must not contain any personally identifiable
	// information of the user, for example, name, personal identification numbers, or
	// other end user personal information.
	//
	// * If you want a user to start a
	// conversation on one device and continue on another device, use a user-specific
	// identifier.
	//
	// * If you want the same user to be able to have two independent
	// conversations on two different devices, choose a device-specific identifier.
	//
	// *
	// A user can't have two independent conversations with two different versions of
	// the same bot. For example, a user can't have a conversation with the PROD and
	// BETA versions of the same bot. If you anticipate that a user will need to have
	// conversation with two different versions, for example, while testing, include
	// the bot alias in the user ID to separate the two conversations.
	//
	// This member is required.
	UserId *string

	// You pass this value as the Accept HTTP header. The message Amazon Lex returns in
	// the response can be either text or speech based on the Accept HTTP header value
	// in the request.
	//
	// * If the value is text/plain; charset=utf-8, Amazon Lex returns
	// text in the response.
	//
	// * If the value begins with audio/, Amazon Lex returns
	// speech in the response. Amazon Lex uses Amazon Polly to generate the speech
	// (using the configuration you specified in the Accept header). For example, if
	// you specify audio/mpeg as the value, Amazon Lex returns speech in the MPEG
	// format.
	//
	// * If the value is audio/pcm, the speech returned is audio/pcm in
	// 16-bit, little endian format.
	//
	// * The following are the accepted values:
	//
	// *
	// audio/mpeg
	//
	// * audio/ogg
	//
	// * audio/pcm
	//
	// * text/plain; charset=utf-8
	//
	// * audio/*
	// (defaults to mpeg)
	Accept *string

	// A list of contexts active for the request. A context can be activated when a
	// previous intent is fulfilled, or by including the context in the request, If you
	// don't specify a list of contexts, Amazon Lex will use the current list of
	// contexts for the session. If you specify an empty list, all contexts for the
	// session are cleared.
	//
	// This value conforms to the media type: application/json
	ActiveContexts *string

	// You pass this value as the x-amz-lex-request-attributes HTTP header.
	// Request-specific information passed between Amazon Lex and a client application.
	// The value must be a JSON serialized and base64 encoded map with string keys and
	// values. The total size of the requestAttributes and sessionAttributes headers is
	// limited to 12 KB. The namespace x-amz-lex: is reserved for special attributes.
	// Don't create any request attributes with the prefix x-amz-lex:. For more
	// information, see Setting Request Attributes
	// (https://docs.aws.amazon.com/lex/latest/dg/context-mgmt.html#context-mgmt-request-attribs).
	//
	// This value conforms to the media type: application/json
	RequestAttributes *string

	// You pass this value as the x-amz-lex-session-attributes HTTP header.
	// Application-specific information passed between Amazon Lex and a client
	// application. The value must be a JSON serialized and base64 encoded map with
	// string keys and values. The total size of the sessionAttributes and
	// requestAttributes headers is limited to 12 KB. For more information, see Setting
	// Session Attributes
	// (https://docs.aws.amazon.com/lex/latest/dg/context-mgmt.html#context-mgmt-session-attribs).
	//
	// This value conforms to the media type: application/json
	SessionAttributes *string
}

type PostContentOutput 

type PostContentOutput struct {

	// A list of active contexts for the session. A context can be set when an intent
	// is fulfilled or by calling the PostContent, PostText, or PutSession operation.
	// You can use a context to control the intents that can follow up an intent, or to
	// modify the operation of your application.
	//
	// This value conforms to the media type: application/json
	ActiveContexts *string

	// One to four alternative intents that may be applicable to the user's intent.
	// Each alternative includes a score that indicates how confident Amazon Lex is
	// that the intent matches the user's intent. The intents are sorted by the
	// confidence score.
	//
	// This value conforms to the media type: application/json
	AlternativeIntents *string

	// The prompt (or statement) to convey to the user. This is based on the bot
	// configuration and context. For example, if Amazon Lex did not understand the
	// user intent, it sends the clarificationPrompt configured for the bot. If the
	// intent requires confirmation before taking the fulfillment action, it sends the
	// confirmationPrompt. Another example: Suppose that the Lambda function
	// successfully fulfilled the intent, and sent a message to convey to the user.
	// Then Amazon Lex sends that message in the response.
	AudioStream io.ReadCloser

	// The version of the bot that responded to the conversation. You can use this
	// information to help determine if one version of a bot is performing better than
	// another version.
	BotVersion *string

	// Content type as specified in the Accept HTTP header in the request.
	ContentType *string

	// Identifies the current state of the user interaction. Amazon Lex returns one of
	// the following values as dialogState. The client can optionally use this
	// information to customize the user interface.
	//
	// * ElicitIntent - Amazon Lex wants
	// to elicit the user's intent. Consider the following examples: For example, a
	// user might utter an intent ("I want to order a pizza"). If Amazon Lex cannot
	// infer the user intent from this utterance, it will return this dialog state.
	//
	// *
	// ConfirmIntent - Amazon Lex is expecting a "yes" or "no" response. For example,
	// Amazon Lex wants user confirmation before fulfilling an intent. Instead of a
	// simple "yes" or "no" response, a user might respond with additional information.
	// For example, "yes, but make it a thick crust pizza" or "no, I want to order a
	// drink." Amazon Lex can process such additional information (in these examples,
	// update the crust type slot or change the intent from OrderPizza to
	// OrderDrink).
	//
	// * ElicitSlot - Amazon Lex is expecting the value of a slot for the
	// current intent. For example, suppose that in the response Amazon Lex sends this
	// message: "What size pizza would you like?". A user might reply with the slot
	// value (e.g., "medium"). The user might also provide additional information in
	// the response (e.g., "medium thick crust pizza"). Amazon Lex can process such
	// additional information appropriately.
	//
	// * Fulfilled - Conveys that the Lambda
	// function has successfully fulfilled the intent.
	//
	// * ReadyForFulfillment - Conveys
	// that the client has to fulfill the request.
	//
	// * Failed - Conveys that the
	// conversation with the user failed. This can happen for various reasons,
	// including that the user does not provide an appropriate response to prompts from
	// the service (you can configure how many times Amazon Lex can prompt a user for
	// specific information), or if the Lambda function fails to fulfill the intent.
	DialogState types.DialogState

	// The text used to process the request. If the input was an audio stream, the
	// inputTranscript field contains the text extracted from the audio stream. This is
	// the text that is actually processed to recognize intents and slot values. You
	// can use this information to determine if Amazon Lex is correctly processing the
	// audio that you send.
	InputTranscript *string

	// Current user intent that Amazon Lex is aware of.
	IntentName *string

	// The message to convey to the user. The message can come from the bot's
	// configuration or from a Lambda function. If the intent is not configured with a
	// Lambda function, or if the Lambda function returned Delegate as the
	// dialogAction.type in its response, Amazon Lex decides on the next course of
	// action and selects an appropriate message from the bot's configuration based on
	// the current interaction context. For example, if Amazon Lex isn't able to
	// understand user input, it uses a clarification prompt message. When you create
	// an intent you can assign messages to groups. When messages are assigned to
	// groups Amazon Lex returns one message from each group in the response. The
	// message field is an escaped JSON string containing the messages. For more
	// information about the structure of the JSON string returned, see
	// msg-prompts-formats. If the Lambda function returns a message, Amazon Lex passes
	// it to the client in its response.
	Message *string

	// The format of the response message. One of the following values:
	//
	// * PlainText -
	// The message contains plain UTF-8 text.
	//
	// * CustomPayload - The message is a
	// custom format for the client.
	//
	// * SSML - The message contains text formatted for
	// voice output.
	//
	// * Composite - The message contains an escaped JSON object
	// containing one or more messages from the groups that messages were assigned to
	// when the intent was created.
	MessageFormat types.MessageFormatType

	// Provides a score that indicates how confident Amazon Lex is that the returned
	// intent is the one that matches the user's intent. The score is between 0.0 and
	// 1.0. The score is a relative score, not an absolute score. The score may change
	// based on improvements to Amazon Lex.
	//
	// This value conforms to the media type: application/json
	NluIntentConfidence *string

	// The sentiment expressed in an utterance. When the bot is configured to send
	// utterances to Amazon Comprehend for sentiment analysis, this field contains the
	// result of the analysis.
	SentimentResponse *string

	// Map of key/value pairs representing the session-specific context information.
	//
	// This value conforms to the media type: application/json
	SessionAttributes *string

	// The unique identifier for the session.
	SessionId *string

	// If the dialogState value is ElicitSlot, returns the name of the slot for which
	// Amazon Lex is eliciting a value.
	SlotToElicit *string

	// Map of zero or more intent slots (name/value pairs) Amazon Lex detected from the
	// user input during the conversation. The field is base-64 encoded. Amazon Lex
	// creates a resolution list containing likely values for a slot. The value that it
	// returns is determined by the valueSelectionStrategy selected when the slot type
	// was created or updated. If valueSelectionStrategy is set to ORIGINAL_VALUE, the
	// value provided by the user is returned, if the user value is similar to the slot
	// values. If valueSelectionStrategy is set to TOP_RESOLUTION Amazon Lex returns
	// the first value in the resolution list or, if there is no resolution list, null.
	// If you don't specify a valueSelectionStrategy, the default is ORIGINAL_VALUE.
	//
	// This value conforms to the media type: application/json
	Slots *string

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
}

type PostTextInput 

type PostTextInput struct {

	// The alias of the Amazon Lex bot.
	//
	// This member is required.
	BotAlias *string

	// The name of the Amazon Lex bot.
	//
	// This member is required.
	BotName *string

	// The text that the user entered (Amazon Lex interprets this text).
	//
	// This member is required.
	InputText *string

	// The ID of the client application user. Amazon Lex uses this to identify a user's
	// conversation with your bot. At runtime, each request must contain the userID
	// field. To decide the user ID to use for your application, consider the following
	// factors.
	//
	// * The userID field must not contain any personally identifiable
	// information of the user, for example, name, personal identification numbers, or
	// other end user personal information.
	//
	// * If you want a user to start a
	// conversation on one device and continue on another device, use a user-specific
	// identifier.
	//
	// * If you want the same user to be able to have two independent
	// conversations on two different devices, choose a device-specific identifier.
	//
	// *
	// A user can't have two independent conversations with two different versions of
	// the same bot. For example, a user can't have a conversation with the PROD and
	// BETA versions of the same bot. If you anticipate that a user will need to have
	// conversation with two different versions, for example, while testing, include
	// the bot alias in the user ID to separate the two conversations.
	//
	// This member is required.
	UserId *string

	// A list of contexts active for the request. A context can be activated when a
	// previous intent is fulfilled, or by including the context in the request, If you
	// don't specify a list of contexts, Amazon Lex will use the current list of
	// contexts for the session. If you specify an empty list, all contexts for the
	// session are cleared.
	ActiveContexts []types.ActiveContext

	// Request-specific information passed between Amazon Lex and a client application.
	// The namespace x-amz-lex: is reserved for special attributes. Don't create any
	// request attributes with the prefix x-amz-lex:. For more information, see Setting
	// Request Attributes
	// (https://docs.aws.amazon.com/lex/latest/dg/context-mgmt.html#context-mgmt-request-attribs).
	RequestAttributes map[string]string

	// Application-specific information passed between Amazon Lex and a client
	// application. For more information, see Setting Session Attributes
	// (https://docs.aws.amazon.com/lex/latest/dg/context-mgmt.html#context-mgmt-session-attribs).
	SessionAttributes map[string]string
}

type PostTextOutput 

type PostTextOutput struct {

	// A list of active contexts for the session. A context can be set when an intent
	// is fulfilled or by calling the PostContent, PostText, or PutSession operation.
	// You can use a context to control the intents that can follow up an intent, or to
	// modify the operation of your application.
	ActiveContexts []types.ActiveContext

	// One to four alternative intents that may be applicable to the user's intent.
	// Each alternative includes a score that indicates how confident Amazon Lex is
	// that the intent matches the user's intent. The intents are sorted by the
	// confidence score.
	AlternativeIntents []types.PredictedIntent

	// The version of the bot that responded to the conversation. You can use this
	// information to help determine if one version of a bot is performing better than
	// another version.
	BotVersion *string

	// Identifies the current state of the user interaction. Amazon Lex returns one of
	// the following values as dialogState. The client can optionally use this
	// information to customize the user interface.
	//
	// * ElicitIntent - Amazon Lex wants
	// to elicit user intent. For example, a user might utter an intent ("I want to
	// order a pizza"). If Amazon Lex cannot infer the user intent from this utterance,
	// it will return this dialogState.
	//
	// * ConfirmIntent - Amazon Lex is expecting a
	// "yes" or "no" response. For example, Amazon Lex wants user confirmation before
	// fulfilling an intent. Instead of a simple "yes" or "no," a user might respond
	// with additional information. For example, "yes, but make it thick crust pizza"
	// or "no, I want to order a drink". Amazon Lex can process such additional
	// information (in these examples, update the crust type slot value, or change
	// intent from OrderPizza to OrderDrink).
	//
	// * ElicitSlot - Amazon Lex is expecting a
	// slot value for the current intent. For example, suppose that in the response
	// Amazon Lex sends this message: "What size pizza would you like?". A user might
	// reply with the slot value (e.g., "medium"). The user might also provide
	// additional information in the response (e.g., "medium thick crust pizza").
	// Amazon Lex can process such additional information appropriately.
	//
	// * Fulfilled -
	// Conveys that the Lambda function configured for the intent has successfully
	// fulfilled the intent.
	//
	// * ReadyForFulfillment - Conveys that the client has to
	// fulfill the intent.
	//
	// * Failed - Conveys that the conversation with the user
	// failed. This can happen for various reasons including that the user did not
	// provide an appropriate response to prompts from the service (you can configure
	// how many times Amazon Lex can prompt a user for specific information), or the
	// Lambda function failed to fulfill the intent.
	DialogState types.DialogState

	// The current user intent that Amazon Lex is aware of.
	IntentName *string

	// The message to convey to the user. The message can come from the bot's
	// configuration or from a Lambda function. If the intent is not configured with a
	// Lambda function, or if the Lambda function returned Delegate as the
	// dialogAction.type its response, Amazon Lex decides on the next course of action
	// and selects an appropriate message from the bot's configuration based on the
	// current interaction context. For example, if Amazon Lex isn't able to understand
	// user input, it uses a clarification prompt message. When you create an intent
	// you can assign messages to groups. When messages are assigned to groups Amazon
	// Lex returns one message from each group in the response. The message field is an
	// escaped JSON string containing the messages. For more information about the
	// structure of the JSON string returned, see msg-prompts-formats. If the Lambda
	// function returns a message, Amazon Lex passes it to the client in its response.
	Message *string

	// The format of the response message. One of the following values:
	//
	// * PlainText -
	// The message contains plain UTF-8 text.
	//
	// * CustomPayload - The message is a
	// custom format defined by the Lambda function.
	//
	// * SSML - The message contains
	// text formatted for voice output.
	//
	// * Composite - The message contains an escaped
	// JSON object containing one or more messages from the groups that messages were
	// assigned to when the intent was created.
	MessageFormat types.MessageFormatType

	// Provides a score that indicates how confident Amazon Lex is that the returned
	// intent is the one that matches the user's intent. The score is between 0.0 and
	// 1.0. For more information, see Confidence Scores
	// (https://docs.aws.amazon.com/lex/latest/dg/confidence-scores.html). The score is
	// a relative score, not an absolute score. The score may change based on
	// improvements to Amazon Lex.
	NluIntentConfidence *types.IntentConfidence

	// Represents the options that the user has to respond to the current prompt.
	// Response Card can come from the bot configuration (in the Amazon Lex console,
	// choose the settings button next to a slot) or from a code hook (Lambda
	// function).
	ResponseCard *types.ResponseCard

	// The sentiment expressed in and utterance. When the bot is configured to send
	// utterances to Amazon Comprehend for sentiment analysis, this field contains the
	// result of the analysis.
	SentimentResponse *types.SentimentResponse

	// A map of key-value pairs representing the session-specific context information.
	SessionAttributes map[string]string

	// A unique identifier for the session.
	SessionId *string

	// If the dialogState value is ElicitSlot, returns the name of the slot for which
	// Amazon Lex is eliciting a value.
	SlotToElicit *string

	// The intent slots that Amazon Lex detected from the user input in the
	// conversation. Amazon Lex creates a resolution list containing likely values for
	// a slot. The value that it returns is determined by the valueSelectionStrategy
	// selected when the slot type was created or updated. If valueSelectionStrategy is
	// set to ORIGINAL_VALUE, the value provided by the user is returned, if the user
	// value is similar to the slot values. If valueSelectionStrategy is set to
	// TOP_RESOLUTION Amazon Lex returns the first value in the resolution list or, if
	// there is no resolution list, null. If you don't specify a
	// valueSelectionStrategy, the default is ORIGINAL_VALUE.
	Slots map[string]string

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
}

type PutSessionInput 

type PutSessionInput struct {

	// The alias in use for the bot that contains the session data.
	//
	// This member is required.
	BotAlias *string

	// The name of the bot that contains the session data.
	//
	// This member is required.
	BotName *string

	// The ID of the client application user. Amazon Lex uses this to identify a user's
	// conversation with your bot.
	//
	// This member is required.
	UserId *string

	// The message that Amazon Lex returns in the response can be either text or speech
	// based depending on the value of this field.
	//
	// * If the value is text/plain;
	// charset=utf-8, Amazon Lex returns text in the response.
	//
	// * If the value begins
	// with audio/, Amazon Lex returns speech in the response. Amazon Lex uses Amazon
	// Polly to generate the speech in the configuration that you specify. For example,
	// if you specify audio/mpeg as the value, Amazon Lex returns speech in the MPEG
	// format.
	//
	// * If the value is audio/pcm, the speech is returned as audio/pcm in
	// 16-bit, little endian format.
	//
	// * The following are the accepted values:
	//
	// *
	// audio/mpeg
	//
	// * audio/ogg
	//
	// * audio/pcm
	//
	// * audio/* (defaults to mpeg)
	//
	// *
	// text/plain; charset=utf-8
	Accept *string

	// A list of contexts active for the request. A context can be activated when a
	// previous intent is fulfilled, or by including the context in the request, If you
	// don't specify a list of contexts, Amazon Lex will use the current list of
	// contexts for the session. If you specify an empty list, all contexts for the
	// session are cleared.
	ActiveContexts []types.ActiveContext

	// Sets the next action that the bot should take to fulfill the conversation.
	DialogAction *types.DialogAction

	// A summary of the recent intents for the bot. You can use the intent summary view
	// to set a checkpoint label on an intent and modify attributes of intents. You can
	// also use it to remove or add intent summary objects to the list. An intent that
	// you modify or add to the list must make sense for the bot. For example, the
	// intent name must be valid for the bot. You must provide valid values for:
	//
	// *
	// intentName
	//
	// * slot names
	//
	// * slotToElict
	//
	// If you send the recentIntentSummaryView
	// parameter in a PutSession request, the contents of the new summary view replaces
	// the old summary view. For example, if a GetSession request returns three intents
	// in the summary view and you call PutSession with one intent in the summary view,
	// the next call to GetSession will only return one intent.
	RecentIntentSummaryView []types.IntentSummary

	// Map of key/value pairs representing the session-specific context information. It
	// contains application information passed between Amazon Lex and a client
	// application.
	SessionAttributes map[string]string
}

type PutSessionOutput 

type PutSessionOutput struct {

	// A list of active contexts for the session.
	//
	// This value conforms to the media type: application/json
	ActiveContexts *string

	// The audio version of the message to convey to the user.
	AudioStream io.ReadCloser

	// Content type as specified in the Accept HTTP header in the request.
	ContentType *string

	// * ConfirmIntent - Amazon Lex is expecting a "yes" or "no" response to confirm
	// the intent before fulfilling an intent.
	//
	// * ElicitIntent - Amazon Lex wants to
	// elicit the user's intent.
	//
	// * ElicitSlot - Amazon Lex is expecting the value of a
	// slot for the current intent.
	//
	// * Failed - Conveys that the conversation with the
	// user has failed. This can happen for various reasons, including the user does
	// not provide an appropriate response to prompts from the service, or if the
	// Lambda function fails to fulfill the intent.
	//
	// * Fulfilled - Conveys that the
	// Lambda function has sucessfully fulfilled the intent.
	//
	// * ReadyForFulfillment -
	// Conveys that the client has to fulfill the intent.
	DialogState types.DialogState

	// The name of the current intent.
	IntentName *string

	// The next message that should be presented to the user.
	Message *string

	// The format of the response message. One of the following values:
	//
	// * PlainText -
	// The message contains plain UTF-8 text.
	//
	// * CustomPayload - The message is a
	// custom format for the client.
	//
	// * SSML - The message contains text formatted for
	// voice output.
	//
	// * Composite - The message contains an escaped JSON object
	// containing one or more messages from the groups that messages were assigned to
	// when the intent was created.
	MessageFormat types.MessageFormatType

	// Map of key/value pairs representing session-specific context information.
	//
	// This value conforms to the media type: application/json
	SessionAttributes *string

	// A unique identifier for the session.
	SessionId *string

	// If the dialogState is ElicitSlot, returns the name of the slot for which Amazon
	// Lex is eliciting a value.
	SlotToElicit *string

	// Map of zero or more intent slots Amazon Lex detected from the user input during
	// the conversation. Amazon Lex creates a resolution list containing likely values
	// for a slot. The value that it returns is determined by the
	// valueSelectionStrategy selected when the slot type was created or updated. If
	// valueSelectionStrategy is set to ORIGINAL_VALUE, the value provided by the user
	// is returned, if the user value is similar to the slot values. If
	// valueSelectionStrategy is set to TOP_RESOLUTION Amazon Lex returns the first
	// value in the resolution list or, if there is no resolution list, null. If you
	// don't specify a valueSelectionStrategy the default is ORIGINAL_VALUE.
	//
	// This value conforms to the media type: application/json
	Slots *string

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata
}

type ResolveEndpoint 

type ResolveEndpoint struct {
	Resolver EndpointResolver
	Options  EndpointResolverOptions
}

func (*ResolveEndpoint) HandleSerialize 

func (m *ResolveEndpoint) HandleSerialize(ctx context.Context, in middleware.SerializeInput, next middleware.SerializeHandler) (
	out middleware.SerializeOutput, metadata middleware.Metadata, err error,
)

func (*ResolveEndpoint) ID 

func (*ResolveEndpoint) ID() string

Source Files

View all Source files

Directories

Path Synopsis
internal
endpoints

Jump to

Keyboard shortcuts

? : This menu
/ : Search site
f or F : Jump to
y or Y : Canonical URL
go.dev uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more.